You have done an excellent job of explaining the use of Matplotlib's subplot function. Your instructions are clear, concise, and easy to follow, making them accessible for beginners in data visualisation. The use of practical examples, such as changing colours and arranging multiple graphs, is particularly helpful in demonstrating the flexibility and functionality of the subplot tool. This approach not only aids in understanding but also inspires us viewers to experiment with our own data visualisation projects. Great work in making a complex topic approachable and engaging!
Great quick clear explanation! Danke schön!! If I may ask, why do I need to type plt.show() in my Jupyter environment for the figures to display? I tried to turn interactive mode on with these two lines: "from matplotlib import interactive" and "interactive(True)" but they still won't show without plt.show().
You've taught me in a few minutes what took me weeks to figure out, I hope your video reaches people earlier in their python journey!
Very good and intuitive explaination, thanks
I was trying to figure out the core difference between plt.plot() and plt.subsplots(). Thank you for making it so easy .
You have done an excellent job of explaining the use of Matplotlib's subplot function. Your instructions are clear, concise, and easy to follow, making them accessible for beginners in data visualisation. The use of practical examples, such as changing colours and arranging multiple graphs, is particularly helpful in demonstrating the flexibility and functionality of the subplot tool. This approach not only aids in understanding but also inspires us viewers to experiment with our own data visualisation projects. Great work in making a complex topic approachable and engaging!
Thank you brother so much for this tutorial . It's one of the easiest explanations of the subplot available on the internet out there
Very clear and helpful - thank you!
The most easy to understand explanation!
You are great, you teach it easy way.
Thanks a lot!
Really good, simple example. Very appreciated!
Excellent work. Thank you very much for the lessons! Please post more videos about matplotlib, I'd love to do them all.
what a good idea to explain this with color! very helpful, thank you
Very clear explanation, thanks!
Well explained, the video clarify how to use fig, ax = plt.subplots(). Thanks!
Good explanation in briefly, Thanks
very good explanation! I just wish you showed how to plot the information when using the fig, axs = plt.subplots(2,2)
Really easy to understand. Thank you
very welcome!
Thank you so much. 🙌🏾🙌🏾
A MILLION THANK YOUS MY FRIEND XOX
thank u so much!! i was searching for this so long
Happy to help!
underrated channel
Thanks
Thanks, good explanation
thank you! clear concise explanation
Thank you so much for the simple explanation
Thank you, Sir
Great explanation! thank you.
You saved me bro, thank u
Best channel
thanks for this wonderfull video man!!
finally i got this. thanks
Glad i wasnt alone with the struggle :-D
Great tutorial. Can you go over how to customize labels and label colors using the fig,axs construction
very clear
thanks man. easily understood
Very nice! Thanks a lot ;)
Happy to help!
It's so easy, yet so confusing.
Great quick clear explanation! Danke schön!!
If I may ask, why do I need to type plt.show() in my Jupyter environment for the figures to display? I tried to turn interactive mode on with these two lines: "from matplotlib import interactive" and "interactive(True)" but they still won't show without plt.show().
Great!
Soooo good!!! Thanks so much!! keep going please!!
Will do!
thanks !
Good stuff
Glad you liked it!
Very nice!! What software are you using?
Thanks. I used google colabs for this video. So basically a jupyter notebook
thanks
how do i leave more space between plots?
Did you figure it out?
@@bigplot8068 add a third blank graph hah
thx u teach
Welcome!